Principal AI Engineer - Evinova
Tasks
- Build agent memory and tool use
- Build multi-agent systems
- Collaborate with product and clinical teams
- Contribute to open-source AI
- Create graph reasoning solutions
- Deliver large scale AI projects
- Design Agentic AI systems
- Develop NLP retrieval information extraction structured generation
- Develop agent observability pipelines
- Implement LLM orchestration
- Implement automated evaluation systems
- Lead AI strategy
- Mentor engineers
- Monitor model and agent performance
- Optimize prompts for LLM agents
- Publish technical research
Perks/Benefits
- 401k plan
- Health benefits
- Paid leaves
- Paid vacation and holidays
- Work from office three days per week
Skills/Tech-stack
Agent systems | Amazon Bedrock | Amazon ECS | Amazon EKS | Amazon MSK | Amazon SageMaker | Amazon Web Services | C plus plus | CUDA | Explainable AI | Few-Shot Learning | Few-shot | Graph reasoning | Langchain | Language Models | Large Language Models | Llamaindex | Meta Learning | Model Monitoring | Multi-Agent | Multi-Agent Systems | NLP | Observability | OpenSearch | Prompt engineering | PyTorch | Python | Reinforcement Learning | Retrieval-Augmented Generation | Rust | TensorFlow | Web Services
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Principal | Principal AI Engineer
Regions
Countries
States
Cities
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